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Chemistry
Chemistry
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Review Cycle Records
Wiley Interdisciplinary Reviews-Computational Molecular Science
Paper Review Records
All Paper Review Records
10 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
70
days
eMap 2.0: A Web‐Based Platform for Identifying electron Transfer Pathways in Proteins and Protein Families
Authors
James R. Gayvert; Alyssa J. Kranc; Ruslan N. Tazhigulov; Ksenia B. BravayaShow moreShow less
Affiliations
1. Department of Chemistry Boston University Boston Massachusetts USAShow moreShow less
105
days
Instantaneous Marcus Theory for Photoinduced Charge Transfer in Condensed Phase
Authors
Xiang SunShow moreShow less
Affiliations
1. Division of Arts and Sciences New York University Shanghai Shanghai China; 2. NYU‐ECNU Center for Computational Chemistry at NYU Shanghai Shanghai China; 3. Department of Chemistry New York University New York New York USA; 4. State Key Laboratory of Precision Spectroscopy East China Normal University Shanghai China; 5. Center for Data Science NYU Shanghai Shanghai ChinaShow moreShow less
159
days
Machine Learning Toolkits and Frameworks for Materials Design
Authors
B. Moses Abraham; Yury GogotsiShow moreShow less
Affiliations
1. A. J. Drexel Nanomaterials Institute Philadelphia Pennsylvania USA; 2. Department of Materials Science and Engineering Drexel University Philadelphia Pennsylvania USAShow moreShow less
78
days
Breaking the Barriers of Molecular Dynamics With Deep‐Learning: Opportunities, Pitfalls, and How to Navigate Them
Authors
Klara Bonneau; Aldo S. Pasos‐Trejo; Michael Plainer; Luca Sagresti; Jacopo Venturin; Iryna Zaporozhets; Alessandro Caruso; Edoardo Rolando; Andrea Guljas; Leon Klein; Maximilian Schebek; Filippo Albani; Raquel López‐Ríos de Castro; Zakariya El Machachi; Lorenzo Giambagli; Cecilia ClementiShow moreShow less
Affiliations
1. Department of Physics Freie Universität Berlin Berlin Germany; 2. Department of Mathematics and Computer Science Freie Universität Berlin Berlin Germany; 3. Konrad Zuse School of Excellence in Learning and Intelligent Systems (ELIZA) Darmstadt Germany; 4. Machine Learning Group Technische Universität Berlin Berlin Germany; 5. Berlin Institute for the Foundations of Learning and Data (BIFOLD) Berlin Germany; 6. Department of Physics and Astrophysics University of Florence Florence Italy; 7. Data Driven Drug Design Saarland University Saarbrücken Germany; 8. Center for Theoretical Biological Physics Rice University Houston Texas USA; 9. Department of Chemistry Rice University Houston Texas USAShow moreShow less
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